A platoon-centric approach to the capacity analysis of mixed traffic comprising connected and autonomous vehicles

Peilin Zhao, Yiik Diew Wong, Feng Zhu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The study of mixed traffic capacity, involving both Connected and Autonomous Vehicles (CAVs) and Human-driven Vehicles (HVs), remains a critical area of research. Traditional models have typically focused on individual vehicles, while this research shifts the focus to platoons as the fundamental units of analysis to better capture the platooning characteristics of CAVs. Specifically, we introduce a new metric, the Inter-Platoon Platooning Intensity (IPI), to facilitate the analysis of mixed traffic capacity. Through both mathematical and numerical investigations, we evaluate the impact of the proposed IPI and Maximum Platoon Size (MPS) on mixed traffic dynamics. Our findings indicate that: (1) the IPI effectively measures the clustering of CAVs in a single-lane mixed traffic environment; (2) the calculated mixed traffic capacity closely matches the actual traffic capacity, showing only minor deviations; (3) the marginal analysis demonstrates the conditions under which mixed traffic capacity correlates monotonically with either MPS or IPI; and (4) an optimal MPS is determined that maximizes mixed traffic capacity. These insights contribute significantly to the existing literature on the effects of platoon size and platooning intensity on mixed traffic flow.

Original languageEnglish
Article number105170
JournalTransportation Research Part C: Emerging Technologies
Volume177
DOIs
Publication statusPublished - Aug 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Ltd

ASJC Scopus Subject Areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Management Science and Operations Research

Keywords

  • Connected autonomous vehicles
  • Mixed traffic
  • Platoon size
  • Platooning intensity

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